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test_db4hls.py
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import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
import itertools
import subprocess
import pytest
from hls4ml import __version__
from pathlib import Path
from connection_config import * # MySQL connection configuration
from helpers import * # Extract information from synthesis run
from queries import * # SQL queries as python functions
from vivado_dense_layer import run_vivado_dense_layer
from extract_layer_info import parse_hls4ml_prj
def cartesian_product(a_min, a_max, b_min, b_max):
a_range = range(a_min, a_max + 1)
b_range = range(b_min, b_max + 1)
return list(itertools.product(a_range, b_range))
design_space = cartesian_product(2, 8, 2, 8)
@pytest.mark.parametrize('n_in, n_out', design_space)
def test_dense(n_in, n_out):
#def main():
# n_in = 4
# n_out = 4
# Run Vivado HLS for a single dummy layer, not too much configuration
# here, just get the results for the db
model_name, hls_model, report, vivado_hls_xml, vivado_hls_log, hls4ml_project_dir = run_vivado_dense_layer(n_in, n_out)
try:
# Connect to the MySQL database
connection = create_db_connection(connection_config_dict)
if connection is None:
return
### model ###
model_data = (model_name, )
model_id = insert_into_model(connection, model_data)
hls4ml_project_path = Path(hls4ml_project_dir).absolute()
layer_latency_info, layer_resource_info = parse_hls4ml_prj(hls4ml_project_path)
if model_id:
hls_model_config = hls_model.config.config
target_clock_period_unit = 'ns' # TODO hardcoded
target_clock_period = hls_model.config.config.get('ClockPeriod')
part = hls_model_config.get('Part')
io_type = hls_model.config.config.get('IOType')
backend = hls_model_config.get('Backend')
### model_knobs ###
model_knobs_data = (model_id, target_clock_period_unit, target_clock_period, part, io_type, backend, )
model_knobs_id = insert_into_model_knobs(connection, model_knobs_data)
if (model_knobs_id):
hls_tool = 'Vivado HLS'
hls4ml_ver = __version__
hls_tool_ver = subprocess.getoutput(get_version_cmd(vivado_hls_xml))
user_name = subprocess.getoutput(get_user())
host_name = subprocess.getoutput(get_host_name())
host_cpu = subprocess.getoutput(get_host_cpu())
host_mem_unit = subprocess.getoutput(get_host_mem_unit())
host_mem = subprocess.getoutput(get_host_mem())
hls_fail = report.get('CSynthesisReport') is None
hls_error_message = subprocess.getoutput(get_hls_error_msg_cmd(vivado_hls_log))
hls_execution_time_unit = subprocess.getoutput(get_hls_execution_time_unit_cmd(vivado_hls_log))
hls_execution_time_str = subprocess.getoutput(get_hls_execution_time_cmd(vivado_hls_log))
hls_execution_time = int(hls_execution_time_str) if hls_execution_time_str != '' else -1
#
estimated_clock_period = report['CSynthesisReport']['EstimatedClockPeriod']
best_latency = report['CSynthesisReport']['BestLatency']
worst_latency = report['CSynthesisReport']['WorstLatency']
minimum_initiation_interval = report['CSynthesisReport']['IntervalMin']
maximum_initiation_interval = report['CSynthesisReport']['IntervalMax']
bram = report['CSynthesisReport']['BRAM_18K']
dsp = report['CSynthesisReport']['DSP']
ff = report['CSynthesisReport']['FF']
lut = report['CSynthesisReport']['LUT']
uram = report['CSynthesisReport']['URAM']
### model_qor ###
model_qor_data = (model_knobs_id,
hls4ml_ver,
hls_tool, hls_tool_ver, user_name, host_name, host_cpu,
host_mem_unit, host_mem,
hls_fail, hls_error_message,
hls_execution_time_unit, hls_execution_time,
estimated_clock_period, best_latency, worst_latency,
minimum_initiation_interval, maximum_initiation_interval,
bram, dsp, ff, lut, uram)
model_qor_id = insert_into_model_qor(connection, model_qor_data)
if model_id:
layers = hls_model.get_layers().mapping
for layer_name in layers:
layer_attributes = layers.get(layer_name).attributes
layer_type = layer_attributes.get('class_name')
layer_subtype = layer_attributes.get('activation') if layer_type == 'Activation' else ''
### layer ###
layer_data = (model_id, layer_name, layer_type, layer_subtype)
layer_id = insert_into_layer(connection, layer_data)
if layer_id:
if layer_type == 'Dense':
n_in = layer_attributes.get('n_in')
n_out = layer_attributes.get('n_out')
### dense_layer ###
dense_layer_data = (layer_id, n_in, n_out)
dense_layer_id = insert_into_dense_layer(connection, dense_layer_data)
dense_layer_id = layer_id # TODO: dense_layer inherit from layer, execute_query does not return id
if dense_layer_id:
reuse_factor = layer_attributes.get('reuse_factor')
strategy = layer_attributes.get('strategy')
### layer_knobs ###
layer_knobs_data = (reuse_factor, strategy)
layer_knobs_id = insert_into_layer_knobs(connection, layer_knobs_data)
if layer_knobs_id:
q_precision_weight = layer_attributes.get('weight_t').precision.definition_cpp()
q_precision_bias = layer_attributes.get('bias_t').precision.definition_cpp()
q_precision_accum = layer_attributes.get('accum_t').precision.definition_cpp()
q_precision_result = layer_attributes.get('precision')
### dense_layer_knobs ###
dense_layer_knobs_data = (layer_knobs_id, layer_id, q_precision_weight, q_precision_bias, q_precision_accum, q_precision_result)
dense_layer_knobs_id = insert_into_dense_layer_knobs(connection, dense_layer_knobs_data)
if layer_name in layer_latency_info and layer_name in layer_resource_info:
module_name = layer_latency_info[layer_name]['Module']
best_latency_clk = layer_latency_info[layer_name]['latency_clk_min']
worst_latency_clk = layer_latency_info[layer_name]['latency_clk_max']
minimum_initiation_interval_clk = layer_latency_info[layer_name]['interval_clk_min']
maximum_initiation_interval_clk = layer_latency_info[layer_name]['interval_clk_max']
best_latency_abs = layer_latency_info[layer_name]['latency_clk_min'].replace(" ns", "")
worst_latency_abs = layer_latency_info[layer_name]['latency_clk_max'].replace(" ns", "")
minimum_initiation_interval_abs = layer_latency_info[layer_name]['latency_clk_min'].replace(" ns", "")
maximum_initiation_interval_abs = layer_latency_info[layer_name]['latency_clk_max'].replace(" ns", "")
pipeline_type = layer_latency_info[layer_name]['pipeline']
bram = layer_resource_info[layer_name]['bram']
dsp = layer_resource_info[layer_name]['dsp']
ff = layer_resource_info[layer_name]['ff']
lut = layer_resource_info[layer_name]['lut']
uram = layer_resource_info[layer_name]['uram']
### layer_qor ###
layer_qor_data = (layer_knobs_id, model_qor_id,
module_name,
best_latency_clk, worst_latency_clk, minimum_initiation_interval_clk, maximum_initiation_interval_clk,
best_latency_abs, worst_latency_abs, minimum_initiation_interval_abs, maximum_initiation_interval_abs,
pipeline_type,
bram, dsp, ff, lut, uram)
layer_qor_id = insert_into_layer_qor(connection, layer_qor_data)
finally:
# Close the database connection
if connection.is_connected():
connection.close()
print("MySQL connection closed")
import os
import shutil
shutil.rmtree(hls4ml_project_dir)
try:
os.remove(hls4ml_project_dir + '.tar.gz')
except FileNotFoundError:
pass # Ignore the error and continue execution
#if __name__ == "__main__":
# main()